Abstract
The field of image forgery is widely studied, and with the recent introduction of deep networks based image synthesis, detection of fake image sequences has increased the challenge. Specifically, detecting spoofing attacks is of grave importance. In this study we exploit the minute changes in facial color of human faces in videos to determine real from fake videos. Even when idle, human skin color changes with sub-dermal blood flow, these changes are enhanced under stress and emotion. We show that extracting facial color along a video sequence can serve as a feature for training deep neural networks to successfully determine fake vs real face sequences
| Original language | English |
|---|---|
| Title of host publication | 28th Color and Imaging Conference 2020, CIC 2020 |
| Publisher | Society for Imaging Science and Technology |
| Pages | 175-180 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781713826972 |
| DOIs | |
| State | Published - 2020 |
| Event | 28th Color and Imaging Conference 2020, CIC 2020 - Virtual, Online Duration: 4 Nov 2020 → 19 Nov 2020 |
Publication series
| Name | Final Program and Proceedings - IS and T/SID Color Imaging Conference |
|---|---|
| Volume | 2020-November |
| ISSN (Print) | 2166-9635 |
| ISSN (Electronic) | 2169-2629 |
Conference
| Conference | 28th Color and Imaging Conference 2020, CIC 2020 |
|---|---|
| City | Virtual, Online |
| Period | 4/11/20 → 19/11/20 |
Bibliographical note
Funding Information:This research was supported by grant no 1455/16 from the Israeli Science Foundation.
Publisher Copyright:
© 2020 Society for Imaging Science and Technology.
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Electronic, Optical and Magnetic Materials
- Atomic and Molecular Physics, and Optics